Exact prediction and consumption of residential electricity power cost hours, daily, weekly, monthly using ant, ML and DL techniques /
- Title
- Exact prediction and consumption of residential electricity power cost hours, daily, weekly, monthly using ant, ML and DL techniques /
- Subject
- Communication
- Description
- Patent Number: 202241055650, Applicant: Dr. S Perumal.
This research describes an unique method for predicting energy consumption based on deep neural networks that can accurately estimate the hourly energy consumption profile of a residential building one day in advance, taking occupancy into account. Providers of energy and utilities can determine the most efficient generation schedule if they have an accurate evaluation of the quantity of energy utilised by houses. A comprehensive review of a number of criteria was undertaken in order to initiate an investigation into the various energy estimation techniques that employ machine learning. - Creator
- Das, Tapas.
- Publisher
- Intellectual Property India
- Date
- 2022-05-23
- Language
- English
- Type
- Patent
Files
Collection
Citation
Das, Tapas., “Exact prediction and consumption of residential electricity power cost hours, daily, weekly, monthly using ant, ML and DL techniques /,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 7, 2025, https://archives.christuniversity.in/items/show/2789.